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Neural Computation, Volume 17
Volume 17, Number 1, January 2005
- Christopher K. I. Williams:
How to Pretend That Correlated Variables Are Independent by Using Difference Observations. 1-6 - Fernando Pérez-Cruz
, Carlos Bousoño-Calzón, Antonio Artés-Rodríguez
Convergence of the IRWLS Procedure to the Support Vector Machine Solution. 7-18
- Evan Smith, Michael S. Lewicki:
Efficient Coding of Time-Relative Structure Using Spikes. 19-45 - David B. Grimes, Rajesh P. N. Rao
Bilinear Sparse Coding for Invariant Vision. 47-73 - Rishikesh Narayanan, Anusha Narayan, Sumantra Chattarji:
A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions. 75-96 - Huajin Tang, Kay Chen Tan
Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons. 97-114 - Shin-ichi Maeda, Wen-Jie Song
Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model. 115-144 - Koby Crammer, Yoram Singer:
Online Ranking by Projecting. 145-175 - Charles A. Micchelli, Massimiliano Pontil:
On Learning Vector-Valued Functions. 177-204 - Kai Keng Ang
RSPOP: Rough Set-Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm. 205-243
Volume 17, Number 2, February 2005
- Florentin Wörgötter, Bernd Porr:
Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms. 245-319
- Shengli Xie, Zhaoshui He, Yuli Fu:
A Note on Stone's Conjecture of Blind Signal Separation. 321-330 - Jinwen Ma, Zhiyong Liu, Lei Xu:
A Further Result on the ICA One-Bit-Matching Conjecture. 331-334
- Jun Morimoto, Kenji Doya
Robust Reinforcement Learning. 335-359 - Andrew James Smith, Suzanna Becker
A Computational Model of the Functional Role of the Ventral-Striatal D2 Receptor in the Expression of Previously Acquired Behaviors. 361-395 - Yan Karklin, Michael S. Lewicki:
A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. 397-423 - Kun Zhang, Lai-Wan Chan:
Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures. 425-452 - A. Menchero, Raquel Montes Diez
Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks. 453-485 - David Windisch:
Loading Deep Networks Is Hard: The Pyramidal Case. 487-502
Volume 17, Number 3, March 2005
- Marc M. Van Hulle:
Maximum Likelihood Topographic Map Formation. 503-513 - Youshen Xia, Gang Feng
On Convergence Conditions of an Extended Projection Neural Network. 515-525
- Leslie G. Valiant:
Memorization and Association on a Realistic Neural Model. 527-555 - Christoph Börgers, Nancy Kopell:
Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons. 557-608 - Christian D. Swinehart, L. F. Abbott:
Supervised Learning Through Neuronal Response Modulation. 609-631 - Benjamin Pfeuty, Germán Mato
The Combined Effects of Inhibitory and Electrical Synapses in Synchrony. 633-670 - Lavi Shpigelman, Yoram Singer, Rony Paz
Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces. 671-690 - Yuval Aviel, David Horn
Memory Capacity of Balanced Networks. 691-713 - Michael Schmitt:
On the Capabilities of Higher-Order Neurons: A Radial Basis Function Approach. 715-729 - Amir F. Atiya
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule. 731-740
Volume 17, Number 4, April 2005
- Eric E. Thomson, William B. Kristan Jr.:
Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis. 741-778 - Simone G. O. Fiori
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay. 779-838
- Shun-ichi Amari, Hiroyuki Nakahara
Difficulty of Singularity in Population Coding. 839-858 - Rudy Guyonneau
Neurons Tune to the Earliest Spikes Through STDP. 859-879 - Shawn Mikula, Ernst Niebur:
Rate and Synchrony in Feedforward Networks of Coincidence Detectors: Analytical Solution. 881-902 - William W. Lytton
Independent Variable Time-Step Integration of Individual Neurons for Network Simulations. 903-921 - Magnus J. E. Richardson, Wulfram Gerstner
Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance. 923-947 - Tianping Chen, Wenlian Lu, Guanrong Chen
Dynamical Behaviors of a Large Class of General Delayed Neural Networks. 949-968 - Damián E. Oliva
A Subjective Distance Between Stimuli: Quantifying the Metric Structure of Representations. 969-990
Volume 17, Number 5, May 2005
- Denis Burdakov
Gain Control by Concerted Changes in IA and IH Conductances. 991-995 - Jens Christian Claussen
Winner-Relaxing Self-Organizing Maps. 996-1009
- Joachim M. Buhmann, Tilman Lange, Ulrich Ramacher:
Image Segmentation by Networks of Spiking Neurons. 1010-1031 - Tadashi Yamazaki
Neural Modeling of an Internal Clock. 1032-1058 - Reiner Schulz, James A. Reggia:
Mirror Symmetric Topographic Maps Can Arise from Activity-Dependent Synaptic Changes. 1059-1083 - Emanuel Todorov:
Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System. 1084-1108 - Barbara Hammer
Universal Approximation Capability of Cascade Correlation for Structures. 1109-1159 - Qiang Wu, Ding-Xuan Zhou
SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming. 1160-1187 - Ming-Wei Chang, Chih-Jen Lin
Leave-One-Out Bounds for Support Vector Regression Model Selection. 1188-1222
Volume 17, Number 6, June 2005
- Henrik Jacobsson:
Rule Extraction from Recurrent Neural Networks: A Taxonomy and Review. 1223-1263
- Yoram Baram:
Learning by Kernel Polarization. 1264-1275
- Chris Eliasmith:
A Unified Approach to Building and Controlling Spiking Attractor Networks. 1276-1314 - Takashi Kanamaru
Synchronized Firings in the Networks of Class 1 Excitable Neurons with Excitatory and Inhibitory Connections and Their Dependences on the Forms of Interactions. 1315-1338 - Jean-Paul Banquet, Philippe Gaussier, Mathias Quoy, Arnaud Revel, Yves Burnod:
A Hierarchy of Associations in Hippocampo-Cortical Systems: Cognitive Maps and Navigation Strategies. 1339-1384 - Faming Liang:
Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo. 1385-1410 - Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks. 1411-1445
Volume 17, Number 7, July 2005
- Arnaud Tonnelier:
Categorization of Neural Excitability Using Threshold Models. 1447-1455
- Gabriela Czanner
Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods. 1456-1479 - Liam Paninski:
Asymptotic Theory of Information-Theoretic Experimental Design. 1480-1507 - Bruno Jedynak, Sanjeev Khudanpur:
Maximum Likelihood Set for Estimating a Probability Mass Function. 1508-1530 - Matthew B. Kennel, Jonathon Shlens, Henry D. I. Abarbanel, E. J. Chichilnisky
Estimating Entropy Rates with Bayesian Confidence Intervals. 1531-1576 - Michael Stiber
Spike Timing Precision and Neural Error Correction: Local Behavior. 1577-1601 - Christian G. Habeck, John W. Krakauer, Claude Ghez, Harold A. Sackeim, David Eidelberg
A New Approach to Spatial Covariance Modeling of Functional Brain Imaging Data: Ordinal Trend Analysis. 1602-1645 - Elko B. Tchernev, Rory G. Mulvaney, Dhananjay S. Phatak:
Investigating the Fault Tolerance of Neural Networks. 1646-1664
Volume 17, Number 8, August 2005
- Bruno A. Olshausen, David J. Field:
How Close Are We to Understanding V1? 1665-1699
- Alireza S. Mahani, Ralf Wessel:
Motion Contrast Classification Is a Linearly Nonseparable Problem. 1700-1705 - Marc M. Van Hulle:
Edgeworth-Expanded Gaussian Mixture Density Modeling. 1706-1714
- Prashant Joshi, Wolfgang Maass:
Movement Generation with Circuits of Spiking Neurons. 1715-1738 - Osamu Hoshino:
Cognitive Enhancement Mediated Through Postsynaptic Actions of Norepinephrine on Ongoing Cortical Activity. 1739-1775 - Abigail Morrison
Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing. 1776-1801 - Miguel A. Atencia Ruiz
Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization. 1802-1819 - Jito Vanualailai, Shin-ichi Nakagiri:
Some Generalized Sufficient Convergence Criteria for Nonlinear Continuous Neural Networks. 1820-1835 - Payam Pakzad, Venkat Anantharam:
Estimation and Marginalization Using the Kikuchi Approximation Methods. 1836-1873
Volume 17, Number 9, September 2005
- Simon Haykin, Zhe Chen
The Cocktail Party Problem. 1875-1902
- Marc M. Van Hulle:
Edgeworth Approximation of Multivariate Differential Entropy. 1903-1910 - Elko B. Tchernev, Rory G. Mulvaney, Dhananjay S. Phatak:
Perfect Fault Tolerance of the n-k-n Network. 1911-1920 - Kaare Brandt Petersen, Ole Winther
On the Slow Convergence of EM and VBEM in Low-Noise Linear Models. 1921-1926
- Murat Okatan
Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity. 1927-1961 - Gianni Pola, Rasmus S. Petersen
Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population. 1962-2005 - Ilya Nemenman
Fluctuation-Dissipation Theorem and Models of Learning. 2006-2033 - Kosuke Hamaguchi
Correlated Firing in a Feedforward Network with Mexican-Hat-Type Connectivity. 2034-2059 - Pierre A. Fortier, Emmanuel Guigon, Yves Burnod:
Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation. 2060-2076 - Tong Zhang:
Learning Bounds for Kernel Regression Using Effective Data Dimensionality. 2077-2098
Volume 17, Number 10, October 2005
- Tobias Glasmachers, Christian Igel:
Gradient-Based Adaptation of General Gaussian Kernels. 2099-2105
- Walter Senn
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses. 2106-2138 - Naoki Masuda
Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback. 2139-2175 - Pieter R. Roelfsema
Attention-Gated Reinforcement Learning of Internal Representations for Classification. 2176-2214 - Si Wu, Shun-ichi Amari:
Computing with Continuous Attractors: Stability and Online Aspects. 2215-2239 - Petr Lánský
Optimal Signal Estimation in Neuronal Models. 2240-2257 - Thomas Wennekers, Nihat Ay:
Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule. 2258-2290 - Rohana K. Rajapakse, Michael J. Denham:
Fast Access to Concepts in Concept Lattices via Bidirectional Associative Memories. 2291-2300
Volume 17, Number 11, November 2005
- Michael Rudolph, Alain Destexhe:
An Extended Analytic Expression for the Membrane Potential Distribution of Conductance-Based Synaptic Noise. 2301-2315
- Peter A. Appleby, Terry Elliott:
Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity. 2316-2336 - Robert Legenstein
What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? 2337-2382 - Claude Meunier, Karol Borejsza:
How Membrane Properties Shape the Discharge of Motoneurons: A Detailed Analytical Study. 2383-2420 - Paul H. E. Tiesinga:
Stimulus Competition by Inhibitory Interference. 2421-2453 - Terence Kwok, Kate A. Smith
Optimization via Intermittency with a Self-Organizing Neural Network. 2454-2481 - Qi Zhao, David J. Miller:
Mixture Modeling with Pairwise, Instance-Level Class Constraints. 2482-2507 - Kazushi Ikeda
Geometrical Properties of Nu Support Vector Machines with Different Norms. 2508-2529
Volume 17, Number 12, December 2005
- Michiel Berends, Reinoud Maex
The Effect of NMDA Receptors on Gain Modulation. 2531-2547 - Dominique Martinez:
Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe. 2548-2570 - Xuedong Zhang, Laurel H. Carney
Response Properties of an Integrate-and-Fire Model That Receives Subthreshold Inputs. 2571-2601 - Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal:
Incremental Online Learning in High Dimensions. 2602-2634 - Jirí Síma, Jirí Sgall
On the Nonlearnability of a Single Spiking Neuron. 2635-2647 - Zhe Chen
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method. 2648-2671 - Qing Song:
A Robust Information Clustering Algorithm. 2672-2698 - Justin Werfel, Xiaohui Xie, H. Sebastian Seung:
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. 2699-2718 - Kazushi Ikeda
Information Geometry of Interspike Intervals in Spiking Neurons. 2719-2735
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